DocumentCode :
1910657
Title :
Object recognition in wikimage data based on local invariant image features
Author :
Tomasev, Nenad ; Pracner, Doni ; Brehar, Raluca ; Radovanovic, Milos ; Mladenic, Dunja ; Ivanovic, Mirjana ; Nedevschi, Sergiu
Author_Institution :
Artificial Intell. Lab., Jozef Stefan Inst., Ljubljana, Slovenia
fYear :
2013
fDate :
5-7 Sept. 2013
Firstpage :
139
Lastpage :
146
Abstract :
Object recognition is an essential task in content-based image retrieval and classification. This paper deals with object recognition in WIKImage data, a collection of publicly available annotated Wikipedia images. WIKImage comprises a set of 14 binary classification problems with significant class imbalance. Our approach is based on using the local invariant image features and we have compared 3 standard and widely used feature types: SIFT, SURF and ORB. We have examined how the choice of representation affects the k-nearest neighbor data topology and have shown that some feature types might be more appropriate than others for this particular problem. In order to assess the difficulty of the data, we have evaluated 7 different k-nearest neighbor classification methods and shown that the recently proposed hubness-aware classifiers might be used to either increase the accuracy of prediction, or the macro-averaged F-score. However, our results indicate that further improvements are possible and that including the textual feature information might prove beneficial for system performance.
Keywords :
Web sites; content-based retrieval; feature extraction; image classification; image retrieval; image texture; learning (artificial intelligence); object recognition; ORB type; SIFT type; SURF type; WIKImage data; Wikipedia images; binary classification problems; class imbalance; content-based image classification; content-based image retrieval; hubness-aware classifiers; k-nearest neighbor classification methods; k-nearest neighbor data topology; local invariant image features; macro-averaged F-score; object recognition; prediction accuracy; textual feature; Accuracy; Electronic publishing; Encyclopedias; Feature extraction; Internet; Object recognition; WIKImage; Wikipedia; classification; hubness; images; local invariant features; object recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2013 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-1493-7
Type :
conf
DOI :
10.1109/ICCP.2013.6646097
Filename :
6646097
Link To Document :
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